Analysis of NBA Player Salary using Linear Regression Analysis

Abstract

The National Basketball Association (NBA) is one of the major professional sports leagues in the United States. As times change, the NBA has a growing commercial value, and players have increasing salaries. The problems of salaries and contracts existed since the start of the NBA, inappropriate value of contracts between players and teams fail to reach an agreement. This paper uses the players’ data from the Entertainment and Sports Programming Network (ESPN) over the 2022-2023 regular season. The player field average data such as average points and ages will be the variables used to find out the player's salary, linear regression model will be used for analysis. The outcome will indicate the important factors used and to take into consideration by teams about the salary of players. This paper found that the player's salary is strongly related to their points per game and average field goals made which meet the playing style of the current basketball market.